abstract

Discovering Users for Technical Innovations through Systematic Matchmaking

Authors:

Bart van Dijk,

John ZimmermanAuthors Info & Claims

CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

Paper No.: LBW2517, Pages 1 - 6

https://doi.org/10.1145/3290607.3312843

Published: 02 May 2019 Publication History

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Abstract

Every year Human-Computer Interaction (HCI) researchers create new technical innovations. Unfortunately, the User-Centered Design (UCD) processes used by most designers in HCI does not help much when the challenge is to find the best users for these innovations. We augmented the matchmaking design method, making it more systematic in considering potential users by using a list of 399 occupation groups and by incorporating the customer discovery interviews from the Lean Startup. We then assessed our new design method by searching for users who might benefit from two different technical innovations: ViBand and PaperID. We found that matchmaking with the list of occupation groups helped surface users we would likely have not considered. In addition, the customer discovery interviews helped to generate better applications and additional target users for the innovations. This paper documents our process, the design method, and insights we gained from using it.

References

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Anderson, N. S., Norman, D. A., & Draper, S. W. (1988). User Centered System Design: New Perspectives on Human-Computer Interaction. The American Journal of Psychology, 101(1), 148.

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Bly, S., & Churchill, E. F. (1999). Design through matchmaking: technology in search of users. Interactions, 6(2), 23--31.

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ILO. (2012). International Standard Classification of Occupations - Structure, group definitions and correspondence tables, ISCO-08, Volume 1. Retrieved from https://www.ilo.org/public/english/bureau/stat/isco/docs/publication08.pdf

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Laput, G., Xiao, R., & Harrison, C. (2016). ViBand: High-Fidelity Bio-Acoustic Sensing Using Commodity Smartwatch Accelerometers. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology - UIST '16 (pp. 321--333).

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Li, H., Brockmeyer, E., Carter, E. J., Fromm, J., Hudson, S. E., Patel, S. N., & Sample, A. (2016). PaperID. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI '16 (pp. 5885--5896). New York, New York, USA: ACM Press.

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Cited By

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Liu HDas ABoltz AZhou DPinaroc DLease MLee M(2024)Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AIProceedings of the ACM on Human-Computer Interaction10.1145/36869628:CSCW2(1-44)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686962

Index Terms

Discovering Users for Technical Innovations through Systematic Matchmaking
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies

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Published In

CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

3673 pages

ISBN:9781450359719

DOI:10.1145/3290607

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
,
Geraldine Fitzpatrick
TU Wien, Austria
,
Program Chairs:
Anna Cox
University College London, UK
,
Vassilis Kostakos
University of Melbourne, Australia

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Published: 02 May 2019

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CHI '19: CHI Conference on Human Factors in Computing Systems

May 4 - 9, 2019

Glasgow, Scotland Uk

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI '25

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Liu HDas ABoltz AZhou DPinaroc DLease MLee M(2024)Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AIProceedings of the ACM on Human-Computer Interaction10.1145/36869628:CSCW2(1-44)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686962

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Abstract

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Cited By

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Recommendations

A method to get rich feedbacks from users in an interview for design concept decision

Participatory design strategies to enhance the creative contribution of children with special needs

HCI Design Methods: where next? from user-centred to creative design and beyond

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